Construction of a predictive model based on columnar maps for factors influencing lesion residuals after minimally invasive rotary mastectomy for breast masses
10.3760/cma.j.cn.115807-20221012-00275
- VernacularTitle:基于列线图构建乳腺肿块微创旋切术后病灶残留相关影响因素的预测模型
- Author:
Changxin LYU
1
;
Zejie SHAO
;
Li LI
;
Liyong FENG
;
Shengjie MA
;
Cuili LIU
Author Information
1. 临沂市人民医院乳腺外科，临沂 276034
- Keywords:
Breast lumps;
Minimally invasive spinotomy;
Lesion residual
- From:
Chinese Journal of Endocrine Surgery
2023;17(1):84-89
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the influencing factors associated with lesion residual after minimally invasive rotary mastectomy for breast masses and to construct a predictive model using columnar plots.Methods:Two hundred and twenty-eight patients with Breast lumps in Linyi People’s Hospital from Jun. 2018 to Jun. 2020 were selected as study subjects, all of whom underwent minimally invasive rotational resection, and the influencing factors of postoperative lesion residual were analyzed using univariate and multifactorial analysis, and a column line graph risk warning model was constructed and given for evaluation and validation.Results:228 patients were followed up for 6 months after surgery, 3 cases were lost, 225 cases completed postoperative follow-up, among which 185 cases (82.22%) had successfully resected lesions; 40 cases (17.78%) had residual lesions. Univariate, logistic regression analysis showed that tumor diameter ( t=15.52, P<0.001) , lesion morphology ( t=15.52, P<0.001) , lesion boundary ( χ2=7.71, P=0.006) , ultrasound guidance ( χ2=12.69, P<0.001) , and minimally invasive spinotomy system ( χ2=10.64, P=0.001) were the factors influencing lesion residual after minimally invasive spinotomy of breast masses. Based on the above factors to construct a column line graph model of lesion residual after minimally invasive rotational mastectomy for breast lumps, the area under the working characteristic curve (ROC) for model subjects was 0.974 (95% CI: 0.954-0.994) , indicating that the calibration curve basically matched the actual curve; external validation of the model showed that the area under the obtained ROC was 0.962 (95% CI: 0.933-0.991) , indicating that the model has a high degree of calibration. Conclusion:Tumor diameter, lesion morphology, lesion boundary, ultrasound guidance, and minimally invasive spinotomy system are the influencing factors of lesion residual after minimally invasive spinotomy for Breast lumps, and the column line graph model prediction of lesion residual occurring after surgery constructed based on the above factors has good confidence.
